VS Code Finally Lets You Use Local AI — No Microsoft Login, No Subscription
Did you know VS Code 1.122 now lets you connect ANY local AI model — completely free, no Microsoft login required? In this video, I walk you through exactly how to set up local AI inside VS Code using LM Studio and DeepSeek running on a local DGX, no Copilot subscription needed.
Contents:
0:00 - Introduction
0:12 - Description
1:12 - Configure LM Studio
5:53 - Configure DeepSeek V4
7:31 - Advanced LM Studio Integration
12:03 - Conclusion
One gotcha covered in depth: VS Code uses far more context tokens than you'd expect for even simple questions, so the default 4096 context window in LM Studio will break things. I show you exactly how to pre-configure each model to avoid hitting that wall.
What's covered:
How VS Code 1.122 opened up the "Bring Your Own AI" feature
Setting up LM Studio as a custom endpoint in VS Code
Connecting DeepSeek V4 Flash from a local DGX machine
Running VS Code in a fully air-gapped, offline environment
Configuring the JSON language model file (appdata/roaming)
Managing multiple local models side by side
Why context length matters and how to fix the 4096 token wall in LM Studio
Real-world demos: web browsing, code generation, and code editing via local AI
Is local AI good enough to fully replace GitHub Copilot or cloud-based tools? I give you my honest take at the end.
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